Enhancing lung lesion localization in CT-scans: a novel approach using FE_CXY and statistical analysis
Intelligence algorithm systems rely on a large dataset to effectively extract significant features that can recognize patterns for classification purposes and extensively utilized to assist the physicians in diagnosis of lung cancer. Extracting valuable features from the available dataset is crucial...
| Published in: | Indonesian Journal of Electrical Engineering and Computer Science |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191598568&doi=10.11591%2fijeecs.v34.i2.pp913-925&partnerID=40&md5=24bdb0f59e7957fb196618f39640ed3e |